Back Scattering Correction with McStas data
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essimaging
- Dominant language
- Python
- Stars
- 1
- Forks
- 3
- Avg merge
- 2d 11h
- Merged PRs (30d)
- 17
Description
We talked about how to decide when the back scattering correction works.
The first thing we want to do is to see if the back scattering correction improves the fitting result of the McStas simulation data that we used for STAP meeting in April.
- We need simulation data with the grid first.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named in the issue. Start by obtaining the McStas simulation data with the grid, then compare fitting results with and without the back scattering correction; the work is done when the improvement can be assessed for that dataset.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100